Combining total variation and wavelet packet approaches for image deblurring

F. Malgouyres
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引用次数: 33

Abstract

We show two ways to combine wavelet packets and total variation-based deblurring methods. For this purpose, we first recall that it is possible to approximate a convolution by mean of an operator diagonal in a wavelet packet basis. Then, we show two possibilities, which use this property, for combining wavelet packets and total variation approaches. We then show in experiments that, doing this, we can expect to have the advantages of both approaches while avoiding their drawbacks.
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结合全变分和小波包的图像去模糊方法
我们展示了两种结合小波包和基于总变化的去模糊方法的方法。为此,我们首先回顾一下,在小波包的基础上,可以用对角线算子来近似卷积。然后,我们展示了两种利用这一性质将小波包和总变分方法结合起来的可能性。然后我们在实验中证明,这样做,我们可以期望拥有两种方法的优点,同时避免它们的缺点。
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